Data Solutions Engineer

Stack

Responsibilities

• ▹Partner directly with customers to identify data challenges and design technical solutions
• ▹Connect data sources, configure integrations, automate recurring workflows and deploy custom reports
• ▹Deploy and optimise AI-powered tools and workflows for customers; educate customers and internal teams on prompt engineering, LLM capabilities and best practices for AI in data operations
• ▹Build and extend internal tooling (importers, parsers, reporting pipelines) to reduce manual burden on the Customer Experience team and improve platform reliability
• ▹Execute bespoke data operations such as custom SQL reports, bulk data operations and backend queries
• ▹Own API schemas, ingestion cadence, error handling, Snowflake data shares and database connections
• ▹Identify repeatable patterns across customers and translate them into product requirements, filing tickets and partnering with Engineering
• ▹Support internal engineering workflows as a secondary function by triaging and resolving small bugs and enhancements that impact the Customer Experience team and customers
• ▹Carry a light book of data parsing work alongside teammates

Requirements

• ▹3-5+ years of experience in a technical role with a customer-facing component (solutions engineering, data engineering, technical account management or similar)
• ▹Strong SQL skills: complex queries, ad-hoc data analysis, relational data models
• ▹Proficiency in Python for scripting, data manipulation and workflow automation
• ▹Hands-on experience with REST APIs: designing, consuming and debugging integrations
• ▹Genuine curiosity about AI
• ▹Willingness to travel up to 60% of the time to work on-site with customers
• ▹Familiarity with modern data infrastructure such as Snowflake, dbt or similar warehouse and pipeline tools
• ▹Strong communication and ability to explain technical concepts clearly to non-technical stakeholders
• ▹Experience in B2B SaaS, ideally in fintech, venture capital or private markets
• ▹High ownership mentality and proactivity
• ▹Confidence operating in ambiguity without a fully defined playbook

Nice to have

• ▹Experience with prompt engineering, LLM-based workflows or AI-forward tooling
• ▹Experience with data integration tools (Zapier, n8n, Make or similar)
• ▹Exposure to fund accounting and investment data workflows
• ▹Experience configuring MCP servers and AI agents
• ▹Finance and/or Computer Science degree

Soft skills

What we offer

• ▹Health, dental and vision insurance: 100% covered for you and your dependents in the USA; internationally, local health coverage is matched
• ▹Flexible vacation with no firm rules (most employees take 3-4 weeks on top of holidays)
• ▹12 weeks of paid parental leave in the USA; internationally, local standards are matched
• ▹Complete transparency: everyone has full access to business metrics and financial information
• ▹Regular offsites that bring the whole team together
• ▹Remote-first company

About the company

Standard Metrics is an AI-driven financial data platform that helps investors and their portfolio companies make better decisions with automated reporting and benchmarking tools. It is backed by 8VC and Spark Capital, among others.